AI-Based Vegetable Disease Detection

Abstract: Plant diseases in vegetable crops significantly affect agricultural productivity and yield. Traditional disease detection methods depend on manual inspection, which is time-consuming and prone to errors. To address this issue, this project uses Convolutional Neural Networks (CNNs) to automatically detect vegetable leaf diseases through image classification.The system classifies vegetable leaves into healthy and diseased categories, including bacterial and fungal infections, blight, and leaf spot diseases. Using a labeled dataset and image preprocessing techniques such as resizing and normalization, the CNN model learns disease-specific features effectively. This AI-based system enables early disease detection, reduces crop loss, improves yield, and supports sustainable farming practices, with future scope for mobile deployment and multi-crop expansion.

Keywords: Vegetable Disease Detection, CNN, Deep Learning, Image Classification, Smart Agriculture